Technological Elements behind the Renewable Energy Community: Current Status, Existing Gap, Necessity, and Future Perspective—Overview
The Renewable Energy Community (REC) in Europe promotes renewable energy sources
(RESs), offering social, economic, and environmental benefits. This new entity could alter …
(RESs), offering social, economic, and environmental benefits. This new entity could alter …
A Review of Renewable Energy Communities: Concepts, Scope, Progress, Challenges, and Recommendations
In recent times, there has been a significant shift from centralized energy systems to
decentralized ones. These systems aim to satisfy local energy needs using renewable …
decentralized ones. These systems aim to satisfy local energy needs using renewable …
Enabling technologies for energy communities: some experimental use cases
It is known that the energy transition can be achieved not only with the use of renewable
energy sources but also with a new conception and management of the electricity system …
energy sources but also with a new conception and management of the electricity system …
A big data platform exploiting auditable tokenization to promote good practices inside local energy communities
Abstract The Energy Community Platform (ECP) is a modular system conceived to promote a
conscious use of energy by the users inside local energy communities. It is composed of two …
conscious use of energy by the users inside local energy communities. It is composed of two …
Semantic Data Management in Data Lakes
In recent years, data lakes emerged as away to manage large amounts of heterogeneous
data for modern data analytics. One way to prevent data lakes from turning into inoperable …
data for modern data analytics. One way to prevent data lakes from turning into inoperable …
[HTML][HTML] A survey on semantic data management as intersection of ontology-based data access, semantic modeling and data lakes
In recent years, data lakes emerged as a way to manage large amounts of heterogeneous
data for modern data analytics. One way to prevent data lakes from turning into inoperable …
data for modern data analytics. One way to prevent data lakes from turning into inoperable …
Big Data Integration for Data-Centric AI
Big data integration represents one of the main challenges for the use of techniques and
tools based on Artificial Intelligence (AI) in several crucial areas: eHealth, energy …
tools based on Artificial Intelligence (AI) in several crucial areas: eHealth, energy …
DXP: Billing Data Preparation for Big Data Analytics
L Gagliardelli, D Beneventano, M Esposito… - arXiv preprint arXiv …, 2023 - arxiv.org
In this paper, we present the data preparation activities that we performed for the Digital
Experience Platform (DXP) project, commissioned and supervised by Doxee SpA. DXP …
Experience Platform (DXP) project, commissioned and supervised by Doxee SpA. DXP …
Integrazione di dati on-demand
L Zecchini - 2024 - iris.unimore.it
Companies and organizations depend heavily on their data to make informed business
decisions. Therefore, guaranteeing high data quality is critical to ensure the reliability of data …
decisions. Therefore, guaranteeing high data quality is critical to ensure the reliability of data …
A Big Data Platform for the Management of Local Energy Communities Data
S Bergamaschi, L Gagliardelli - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
In this paper we present a big data platform designed to collect and analyze energy data of
Local Energy Communities, with the goal to improve the conscious use of energy by the …
Local Energy Communities, with the goal to improve the conscious use of energy by the …